Programming with Big Code

Informazioni relative al progetto

AutoCode

ID dell’accordo di sovvenzione: 727579

DOI

10.3030/727579

Progetto chiuso

Data della firma CE 27 Aprile 2017

Data di avvio 1 Maggio 2017

Data di completamento 31 Ottobre 2018

Finanziato da

• EXCELLENT SCIENCE - European Research Council (ERC)

Costo totale

€ 150 000,00

Contributo UE

€ 150 000,00

Coordinato da

TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY
Israel

Periodic Reporting for period 1 - AutoCode (Programming with Big Code)

Periodo di rendicontazione: 2017-05-01 al 2018-10-31

Sintesi del contesto e degli obiettivi generali del progetto

The goal of AutoCode is to enable automatic programming based on machine-learning over large code bases.
In this project, we developed several interesting prototypes that represent significant progress in the area of automatic programming.
One of our protoypes, called code2vec, is available at www.code2vec.org and is able to predict labels that describe a given piece of code.
The system has been released as open-source (https://github.com/tech-srl/code2vec).
Another prototype that we developed, called code2seq, is available at www.code2seq.org and is able to predict a natural language sentence that describes a given piece of code.
The system will be released as open source under https://github.com/tech-srl.
Both systems have gained much interest both in academia and in industry.
There are several applications of the technology in Industry – at Microsoft Research, in VISA research, and in various startups.